Alexander Leong

Software Engineer

Brisbane, Australia (open to relocation)

Email: toshibaalexander@gmail.com

Current Status: Still testing my Conic Optimization Solver, yes it is in Julia!

Resume| Github| LinkedIn| Travel

About

Software engineer with broad experience in multiple industries from Finance, IT to Aerospace and R&D.

I primarily develop back-end applications in C++, Julia and Python and avid Generative AI optimist.

My main research interests are specifically developing algorithms and systems that can scale to large problems because that's what enables solutions to deliver real-world impact.

Over the course of my life I enjoy travelling, photography and just applying mathematics to solve the most challenging problems.

I wish I had time to do things I don't normally do (exploration vs exploitation). Maybe Generative AI can help with that.

Experience

(2015 -) Software Engineer

Boeing
Brisbane, Australia

Worked across several projects from developing scheduling optimization software, building database and distributed systems and mobile web applications for factory mechanics.
  Programming Languages: C++, C#, Go, Java, Python, Typescript

(2014 - 2015) Pricing Process Officer

Suncorp Group
Brisbane, Australia

Streamlining data-driven systems used in pricing optimization.
  Programming Languages: SAS

Education

(2013) BEng Software Engineering

Queensland University of Technology, Brisbane, Australia

Selected Projects and Presentations

Path Planning using Polynomial Optimization

Presented In-person at JuliaCon 2024, Eindhoven, Netherlands

Developing optimization methods for robust obstacle avoidance.

WebApp

MRI Compressed Sensing and Denoising

Presented In-person at JuliaCon 2023, Cambridge, Massachusetts

This dashboard application can be used to further research into the application of compressed sensing techniques in magnetic resonance imaging using isometric and anisotropic filtering via the Split-Bregman method.

Presented at JuliaCon 2023 Cambridge, MA

YouTube | WebApp

Unscented Kalman Filter on TrajAir

This demo application helps better understand how an unscented kalman filter can be tuned to estimate flight trajectories.

WebApp